GOLD HEDGING STRATEGIES IN THE ASIAN MARKETS

Authors

  • Abdul Halim Mohd Nawawi Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Nur Hasnedza Radzali Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Siti Aida Sheikh Hussin Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Muhammad Azri Mohd Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.8310

Keywords:

Asian markets, gold futures, hedging effectiveness, hedge ratio, garch.

Abstract

During 2007, the gold price was declining due to effect from Global Financial Crisis. After this period, gold price suffered significant drop due to low inflation among countries.Hedging is a tool to mitigate risk and uncertainty in gold prices. This research analyzed the relationship between gold spot and futures prices in the Asian markets (Singapore, Thailand, Indonesia, Malaysia, Tokyo, Korea, Shanghai and Hong Kong) and London market. This study also investigated the ability of gold futures as a hedging tool to gold spot during financial market stress. The investigation employed multivariate GARCH and OLS models for optimal hedge ratio estimation of gold futures. Sample data consists of daily gold spot and futures prices denoted in US dollars per troy ounces. There are four sub–periods (Period I, Period II, Period III and Period IV) considered which covers from 2nd February 2009 until 31st October 2014 of 1500 observations. Using Diagonal BEKK model, it can be suggested that one dollar long (buy)in gold spot should be shorted (sold) by about 78.26 cents of Thailand gold futures during the crisis period and Thailand futures market of 74.85 cents for the post crisis period. It can be argued that hedging effectiveness is higher during global financial crisis as compared to post global financial crisis. It is observed that Diagonal BEKK outperformed minimum variance, CCC and DCC models.

References

Baur, D. G., and McDermott, T. K. 2010. Is Gold a Safe Haven? International Evidence. Journal of Banking and Finance. 34(8): 1886-1898.

Bollerslev, T. 1986. Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics. 31(3): 307-327.

Bollerslev, T. 1988. On the Correlation Structure of the Generalized Autoregressive Conditional Heteroscedastic Process. Journal of Time Series Analysis. 9(2): 121-131.

Brooks, C., Henry, O. T., and Persand, G. 2002. The Effect of Asymmetries onOptimal Hedge Ratios. Journal of Business. 72 (2): 333-352.

Cecchetti, S., Cumby, R. E., and Figlewski, S. 1988. Estimation of the Optimal Futures Hedge. Review of Economics and Statistics. 70: 623-630.

Ederington, L. H. 1979. The Hedging Performance of the New Futures Market. Journal of Finance. 34(1): 157-170.

Engle, R. 2002. Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroscedasticity Models. Journal of Business and Economic Statistics. 20(3): 339-350.

Fadzil, F. M., Nawawi, Abdul Halim. & Shafie, S. I. 2013. Crude Palm Oil Hedging Strategies Using Dynamic Multivariate GARCH. IEEE Symposium on Business, Engineering and Industrial Applications.

Johnson, L. L. 1960. The Theory of Hedging and Speculation in Commodity Futures. The Review of Economic Studies. 1:139-151.

Kroner, K. F., & Sultan, J. 1990. Exchange Rate Volatility and Time Varying Hedge Ratios. United States: Bentley College, Institute for Research and Faculty Development, 1.

Kumar, B., Singh, P., and Pandey, A. 2006. Hedging Effectiveness of Constant and Time Varying Hedge Ratio in Indian Stock and Commodity Futures Markets. 1: 10-37.

Shafiee, S., and Topal, E. 2010. An Overview of Global Gold Market and Gold Price Forecasting. Resources Policy.35(3): 178-189

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Published

2016-04-18

How to Cite

GOLD HEDGING STRATEGIES IN THE ASIAN MARKETS. (2016). Jurnal Teknologi, 78(4-4). https://doi.org/10.11113/jt.v78.8310